Integrative Analysis of Head and Neck Cancer Identifies Two Biologically Distinct HPV and Three Non-HPV Subtypes
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Author Manuscript Published OnlineFirst on December 9, 2014; DOI: 10.1158/1078-0432.CCR-14-2481 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Running title: Integrative analysis identifies five distinct HNC subtypes Integrative analysis of Head and Neck Cancer identifies two biologically distinct HPV and three non-HPV subtypes Michaela K. Keck1,2†, Zhixiang Zuo1†, Arun Khattri1†, Thomas P. Stricker3, Christopher Brown7, Matin Imanguli4, Damian Rieke1, Katharina Endhardt1, Petra Fang1, Johannes Brägelmann1, Rebecca DeBoer1, Mohamed El-Dinali1, Serdal Aktolga1, Zhengdeng Lei5, Patrick Tan5,6, Steve G. Rozen5, Ravi Salgia1,11, Ralph R. Weichselbaum1,11, Mark W. Lingen3,11, 8 12 9 10,11 1,11 Michael D. Story , Kie Kian Ang , Ezra E.W. Cohen , Kevin P. White , Everett E. Vokes , Tanguy Y. Seiwert1,10,11* 1The University of Chicago, Department of Medicine, Chicago, IL, USA. 2The University of Hohenheim, Institute of Biological Chemistry and Nutrition, Stuttgart, Germany. 3The University of Chicago, Department of Pathology, Chicago, IL, USA. 4The University of Texas Southwestern Medical Center, Department of Otolaryngology-Head and Neck Surgery, Dallas, TX, USA. 5Duke-NUS Graduate Medical School, Singapore. 6Genome Institute of Singapore, Singapore. 7The University of Chicago, Department of Human Genetics, Chicago, IL, USA. 8The University of Texas, Southwestern Medical Center, Department of Radiation Oncology, Dallas, TX, USA. 9University of California San Diego, La Jolla, CA 10The University of Chicago, Institute for Genomics and Systems Biology, Chicago, IL, USA. 11The University of Chicago Comprehensive Cancer Center, Chicago, IL, USA. 12 The University of Texas, MD Anderson Cancer Center, Houston, TX, USA. † Authors contributed equally Keywords: Head and Neck Cancer; Integrated Genomic Analysis; Human papillomavirus; Immune Phenotype, HER signaling, oligoclonal T-cell infiltration Financial Support: This work was supported by an ASCO Translational Professorship (EEV). We would like to thank the Achatz Research Fund for its support of HNC research. Dr. Seiwert was supported by The Flight Attendant Medical Research Institute (FAMRI) Young Investigator Award. *Corresponding Author Address: Tanguy Seiwert Knapp Center for Biomedical Discovery at the University of Chicago 900 E. 57th Street, 7110 Chicago, IL 60637 United States Tel: 773-702-2452 Fax: 773-702-3002 Email: [email protected] Downloaded from clincancerres.aacrjournals.org on September 27, 2021. © 2014 American Association for Cancer Research. Author Manuscript Published OnlineFirst on December 9, 2014; DOI: 10.1158/1078-0432.CCR-14-2481 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The authors disclose no potential conflict of interest. Word count (excluding references): 3731 Number of figures and tables: 6 Statement of Translational Relevance: Head and Neck Cancer (HNC) is comprised of HPV(+) and HPV(-) tumors. However there remains significant heterogeneity in clinical behavior (e.g. response to therapies including anti- EGFR or anti-PD-1 immunotherapy) and further biologic sub-classification and elucidation of specific biologic characteristics is lacking. One limitation of available classifications is the absence of any larger (and representative) cohort of HPV(+) tumors or the lack of validation across multiple datasets/platforms. We identify five HNC subtypes including two distinct HPV-subtypes with differential biology across multiple HNC cohorts, and show validity of subtypes and associated biology across all currently available HNC datasets including the TCGA HNC cohort: In particular we report 1) an immune (and mesenchymal) phenotype present in a group of HNC tumors independent of HPV- status, 2) a group with non-HPV-associated tumors showing a prominent HER-driven phenotype as well as hypoxia, which are candidate biomarkers for respective therapies (e.g. PD-1, EGFR/HER, or hypoxia-targeting agents). 2 Downloaded from clincancerres.aacrjournals.org on September 27, 2021. © 2014 American Association for Cancer Research. Author Manuscript Published OnlineFirst on December 9, 2014; DOI: 10.1158/1078-0432.CCR-14-2481 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract: Purpose: Current classification of head and neck squamous cell carcinomas (HNSCC) based on anatomic site and stage fails to capture biologic heterogeneity or adequately inform treatment. Experimental Design: Here we use gene expression based consensus clustering, copy number profiling, and HPV-status on a clinically homogenous cohort of 134 locoregionally-advanced HNSCCs with 44% HPV(+) tumors together with additional cohorts, which in total comprise 938 tumors, to identify HNSCC subtypes and discover several subtype-specific, translationally relevant characteristics. Results: We identified five subtypes of HNSCC including two biologically distinct HPV subtypes. One HPV(+) and one HPV(-) subtype show a prominent immune and mesenchymal phenotype. Prominent tumor infiltration with CD8+ lymphocytes characterizes this inflamed/mesenchymal subtypes - independent of HPV status. Compared to other subtypes, the two HPV subtypes show low expression and no copy number events for EGFR/HER-ligands and absence of EGFR/HER-ligand expression. By contrast the Basal subtype is uniquely characterized by a prominent EGFR/HER signaling phenotype driven by multiple HER ligands, as well as strong hypoxic differentiation not seen in other subtypes. Conclusion: Our five-subtype classification provides a comprehensive overview of HPV(+) as well as HPV(-) HNSCC biology with significant translational implications for biomarker development and personalized care for HNSCC patients. 3 Downloaded from clincancerres.aacrjournals.org on September 27, 2021. © 2014 American Association for Cancer Research. Author Manuscript Published OnlineFirst on December 9, 2014; DOI: 10.1158/1078-0432.CCR-14-2481 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Introduction Head and neck squamous cell carcinoma (HNSCC) is the sixth most common non-skin cancer worldwide with an annual incidence of ~600,000 cases and a mortality rate of 40-50% (1,2). The major known risk factors are environmental exposures to tobacco products, alcohol, and infection with high-risk human papillomaviruses (HPV). The incidence of HPV(+) tumors is rising rapidly and HPV status is now the strongest prognostic marker (3). While HNSCC is now widely viewed as comprised of two distinct clinical entities, HPV(+) and HPV(-), a therapeutically relevant molecular classification system remains elusive. Prior attempts at profiling this clinically heterogeneous disease have been hampered by lack of information about HPV status and/or absence of significant numbers of HPV(+) cases, small sample size, and lack of annotation (4,5). Currently, neither molecular classification nor validated biomarkers are used in clinical practice. Instead all HNSCC patients are treated independent of the underlying biology based on stage and anatomic location, typically using a combination of surgery, radiation, and chemotherapy (6). Cetuximab, an anti-EGFR antibody, is the only approved targeted therapy for HNSCC, but predictive biomarkers remain to be identified and overall cetuximab has a response rate of 7-13% (7). In the current study, we investigate a fully clinically annotated, very homogenous patient cohort of locoregionally advanced HNSCC (including 44% HPV(+) tumors) all treated uniformly with organ-preserving chemoradiotherapy together with all available other HNC cohorts including the Cancer Genome Atlas (TCGA) head and neck cohort, in order to identify HNSCC subtypes and their biologic and prognostic characteristics. We integrate gene expression based consensus clustering, cross-platform approaches for validation, copy number profiling, and HPV status in order to discover subtype-specific, translationally relevant biology. 4 Downloaded from clincancerres.aacrjournals.org on September 27, 2021. © 2014 American Association for Cancer Research. Author Manuscript Published OnlineFirst on December 9, 2014; DOI: 10.1158/1078-0432.CCR-14-2481 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The resulting new taxonomy of HNSCC closely correlates with multiple HNC-relevant oncogenic processes and a biology based taxonomy of HNSCC. In particular we identify two subtypes of HPV(+) head and neck cancer, and two subtypes (one HPV(+), one HPV(-)) with a prominent immune phenotype characterized by CD8+ T-cell infiltration, as well as a subtype with near exclusive HER ligand/EGFR copy number driven signaling. As such our classification is broadly applicable to biomarker and therapy development for head and neck cancer and will inform future clinical and preclinical studies, biomarker development, and personalized HNC care. 5 Downloaded from clincancerres.aacrjournals.org on September 27, 2021. © 2014 American Association for Cancer Research. Author Manuscript Published OnlineFirst on December 9, 2014; DOI: 10.1158/1078-0432.CCR-14-2481 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Materials and Methods Patient Samples OCT blocks of frozen tissue samples were obtained from the University of Chicago Head and Neck Cancer tissue bank (IRB approved protocol UCCCC#8980)(Supplemental